Job description

Job Title: Machine Learning Engineer Location: Sunrise, Fl - 4 days hybrid Employment Type: Full Time Need local candidates, who can attend F2F interview. Experience Required 10 Years Must have: (Generative AI & LLMs LangChain / LangGraph ML model) Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph. Must Have Technical/Functional Skills: We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph. • Implement short-term and long-term memory strategies for LLM-based systems. • Optimize prompts, retrieval pipelines, and orchestration logic. • Collaborate with product and platform teams to deliver scalable AI solutions. Required Qualifications • Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral) • Hands-on experience with LangChain and/or LangGraph. • Solid understanding of LLM memory architecture and state management. • Proficiency in Python and ML engineering best practices. Nice to Have • Experience with GCP services (e.g., Vertex AI, BigQuery, GCS). • Experience deploying ML/GenAI systems in production environments. • data scientist • Can do ML model Roles & Responsibilities • Design, develop, and deploy GenAI applications using LLMs. • Build and implement agentic workflows using LangChain/LangGraph. • Develop ML models and production-ready AI solutions. • Implement and manage LLM memory and state management strategies. • Optimize prompts, retrieval pipelines, and orchestration workflows. • Collaborate with product and platform teams to deliver scalable AI solutions. • Deploy, monitor, and maintain AI/ML systems in production environments. • Evaluate and integrate open-source and proprietary LLMs.

Requirements

Must-haves

Job Title: Machine Learning Engineer
Location: Sunrise, Fl - 4 days hybrid
Employment Type: Full Time
Need local candidates, who can attend F2F interview.
Experience Required 10 Years
Must have: (Generative AI & LLMs LangChain / LangGraph ML model)
Role - Machine Learning Engineer
Experience Required -8+ Years
Implement short-term and long-term memory strategies for LLM-based systems.
Optimize prompts, retrieval pipelines, and orchestration logic.
Collaborate with product and platform teams to deliver scalable AI solutions.
Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)

Nice-to-haves

Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
Experience deploying ML/GenAI systems in production environments.
data scientist
Can do ML model
Roles & Responsibilities
Design, develop, and deploy GenAI applications using LLMs.
Build and implement agentic workflows using LangChain/LangGraph.
Develop ML models and production-ready AI solutions.
Implement and manage LLM memory and state management strategies.
Optimize prompts, retrieval pipelines, and orchestration workflows.
Collaborate with product and platform teams to deliver scalable AI solutions.
Deploy, monitor, and maintain AI/ML systems in production environments.

Application prep

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Keywords to mirror

machine learningaimlllmpythongcp

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Effort: medium